A stochastic frontier analysis of energy efficiency of China's chemical industry

被引:126
|
作者
Lin, Boqiang [1 ,2 ]
Long, Houyin [3 ]
机构
[1] Minjiang Univ, Newhuadu Business Sch, Fuzhou 350108, Fujian, Peoples R China
[2] Xiamen Univ, Inst Studies Energy Policy, Collaborat Innovat Ctr Energy Econ & Energy Polic, Xiamen 361005, Fujian, Peoples R China
[3] Xiamen Univ, Sch Econ, China Ctr Energy Econ Res, Xiamen 361005, Fujian, Peoples R China
关键词
SFA; Energy efficiency; Energy conservation; MEASURING ENVIRONMENTAL PERFORMANCE; RENEWABLE ENERGY; DEA; TAIWAN; CONSERVATION; SECTOR;
D O I
10.1016/j.jclepro.2014.08.104
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As an energy-intensive industry, China's chemical industry consumed 347.1 million ton coal equivalent of energy in 2011, which was equal to the sum of the overall energy consumption of Uzbekistan and Czech Republic. Thus, it is crucial to analyze the industry's energy efficiency and energy saving potential. In this paper, we adopt the stochastic frontier analysis to study the average energy efficiency and energy saving potential of the chemical industry based on the assumption of the trans-log production function. The results show that energy price and enterprise scale are conducive for the improvement of energy efficiency while ownership structure has an opposite effect. The average energy efficiency in China was 0.6897 during 2005-2011, with Shanghai having the highest and Shanxi the lowest. In addition, the energy efficiency of East China was higher than that of West and Central China, and the energy efficiency gap between the Eastern and the Western regions was widening. The results also show that China's energy saving potential was 89.42 million ton coal equivalent, with Shanxi having the highest, followed by Inner Mongolia. Moreover, the energy saving potential of East China was the largest. Finally, we provide policy recommendations for energy efficiency improvement in China's chemical industry. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:235 / 244
页数:10
相关论文
共 50 条
  • [21] Efficiency in the manufacturing industry of selected provinces in Turkey -: A stochastic frontier analysis
    Önder, AÖ
    Deliktas, E
    Lenger, A
    EMERGING MARKETS FINANCE AND TRADE, 2003, 39 (02) : 98 - 113
  • [22] Total factor energy efficiency based on stochastic frontier analysis
    Li Li
    Li Weikun
    ENERGY EDUCATION SCIENCE AND TECHNOLOGY PART A-ENERGY SCIENCE AND RESEARCH, 2011, 28 (01): : 181 - 188
  • [23] Business environment drivers and technical efficiency in the Chinese energy industry: A robust Bayesian stochastic frontier analysis
    Wanke, Peter
    Tan, Yong
    Antunes, Jorge
    Hadi-Vencheh, Abdollah
    COMPUTERS & INDUSTRIAL ENGINEERING, 2020, 144
  • [24] Inter-state analysis of energy efficiency- a stochastic frontier approach to the Indian paper industry
    Haider, Salman
    Bhat, Javed Ahmad
    INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 2018, 12 (04) : 547 - 565
  • [25] An Analysis of Energy and Environment Efficiency of China's Iron and Steel Industry
    Lei, Ming
    Yin, Zihan
    FRONTIERS OF ECONOMICS IN CHINA, 2016, 11 (01) : 123 - 141
  • [26] Environmental Efficiency of Apple Production in China: A Translog Stochastic Frontier Analysis
    Bai, Xiuguang
    Salim, Ruhul
    Bloch, Harry
    AGRICULTURAL AND RESOURCE ECONOMICS REVIEW, 2019, 48 (02) : 199 - 220
  • [28] Technical Efficiency Analysis of Indian IT Industry: A Panel Data Stochastic Frontier Approach
    Bhat, Nadeem Ahmad
    Kaur, Sandeep
    MILLENNIAL ASIA, 2024, 15 (02) : 327 - 348
  • [29] Productive efficiency of tea industry: A stochastic frontier approach
    Baten, Md. Azizul
    Kamil, Anton Abdulbasah
    Haque, Mohammad Anamul
    AFRICAN JOURNAL OF BIOTECHNOLOGY, 2010, 9 (25): : 3808 - 3816
  • [30] A meta-stochastic frontier analysis for energy efficiency of regions in Japan
    Honma S.
    Hu J.-L.
    Journal of Economic Structures, 7 (1)